Yossi Arjevani is a postdoctoral researcher at NYU. In 2019 he received his PhD in mathematics and computer science at the Weizmann Institute, advised by Ohad Shamir. His research focuses on optimization-related aspects of machine learning problems, including in particular computational complexity of optimization algorithms and analytic properties of non-convex optimization landscapes. Yossi previously received his BS and MS in mathematics and computer science from the Hebrew university of Jerusalem, advised by Shai Shalev-Shwartz. He is the recipient of the Wolf Foundation Fellowships and the IAAI Best Dissertation award.
- Foundations of Deep Learning, Summer 2019. Research Fellow.